Instructions to use princeton-nlp/sup-simcse-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use princeton-nlp/sup-simcse-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="princeton-nlp/sup-simcse-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/sup-simcse-roberta-base") model = AutoModel.from_pretrained("princeton-nlp/sup-simcse-roberta-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
4bf73c6
1
Parent(s): 2f44ee2
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2188d86af150c2cd8434a1241852c8d9e17e18cc6ce972293d81015aea7fa2a2
|
| 3 |
+
size 498589677
|