Instructions to use nlpconnect/deberta-v3-xsmall-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpconnect/deberta-v3-xsmall-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="nlpconnect/deberta-v3-xsmall-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nlpconnect/deberta-v3-xsmall-squad2") model = AutoModelForQuestionAnswering.from_pretrained("nlpconnect/deberta-v3-xsmall-squad2") - Notebooks
- Google Colab
- Kaggle
Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator
#3
by autoevaluator HF Staff - opened
README.md
CHANGED
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@@ -14,14 +14,16 @@ model-index:
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config: squad_v2
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split: validation
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metrics:
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-
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type: exact_match
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value: 79.3917
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verified: true
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-
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-
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value: 82.6738
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verified: true
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- task:
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type: question-answering
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name: Question Answering
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@@ -31,14 +33,16 @@ model-index:
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config: plain_text
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split: validation
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metrics:
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-
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type: exact_match
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value: 84.9246
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verified: true
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-
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-
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value: 91.6201
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verified: true
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---
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# Deberta-v3-xsmall-squad2
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config: squad_v2
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split: validation
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metrics:
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+
- type: exact_match
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value: 79.3917
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name: Exact Match
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verified: true
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+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTFiMWI5YzFlMDZhMzc2NDIwYjNiZmIyMThmOWQxYjFjZmM2ZDQ0OGM2NmNlNmI3Y2U2N2JjMmVkZTgyZjNiOCIsInZlcnNpb24iOjF9.MCw9UJ3MI3Lf5hvOgk7Lw2xZfN4678p7ebG3vnGXX_Avw6fELTPwxZ9qGA-9tL00p4NxaSb3Cx6XAFvWetAIBA
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+
- type: f1
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value: 82.6738
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+
name: F1
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verified: true
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+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjdiYWY2MzU4YjZhMWQzZGJhZTk3NzU3Y2UwYmQ4MzliZmQxOGUxZDllN2Y0ZmZhYjVlNTE0MzY1MjU5OWMwMCIsInZlcnNpb24iOjF9.zeWLwXy77n0YKxGA5gjySe8p-_nPQxbiPnvQU2tF45IyMmlYKUuLeq4hJnNe-5NgriTf8xkBJBE7Cr5lWHy_Cw
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- task:
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type: question-answering
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name: Question Answering
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config: plain_text
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split: validation
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metrics:
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+
- type: exact_match
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value: 84.9246
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| 38 |
+
name: Exact Match
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verified: true
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+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGJhYmU0Y2I4Y2UyOGVlOTlkMmQ2OTcyMTZkNTkwNTMzNzhmNzZiYjU4ZDkxMGM5NzAyMjk1M2ExNGIzOWU4NCIsInZlcnNpb24iOjF9.ql1rCId6lQ7Uwq2spG3q2fFppkFGHA1IWQjvyPRhvKdRNzApBO0mu9JjMAv4uNKZX-kmGEkI018_9tAzN7kwDw
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+
- type: f1
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value: 91.6201
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| 43 |
+
name: F1
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verified: true
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+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjBjMmI0OTFmODVjMzllZDM0NTdmNjU4NGI4NzA4NTJhOWVkMDQ5OTY0MDcyMWEwZTFkODNlY2VhZjU2NWJmZSIsInZlcnNpb24iOjF9.rGvF60bfWIXzB66C7fkdxCtZvRZ_m3onbLaNbs7M4M0Fk27xnMat6IAy1DeTztkOKLoiD2s2NQH6wXid83cgCw
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---
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# Deberta-v3-xsmall-squad2
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