Text Classification
Transformers
TensorBoard
Safetensors
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use roncc13/autotrain-ixzm9-t6dbc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roncc13/autotrain-ixzm9-t6dbc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="roncc13/autotrain-ixzm9-t6dbc")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("roncc13/autotrain-ixzm9-t6dbc") model = AutoModelForSequenceClassification.from_pretrained("roncc13/autotrain-ixzm9-t6dbc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from roncc13/autotrain-ixzm9-t6dbc: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/roncc13/autotrain-ixzm9-t6dbc/resolve/main/training_args.bin
- Command line
-
hf download hf://roncc13/autotrain-ixzm9-t6dbc/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/roncc13/autotrain-ixzm9-t6dbc/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 7ded606ad2f5100898baa20732f85ab4603646c492c4a3f834ad87d025227bfb
- Size of remote file:
- 5.37 kB
- SHA256:
- cb23b525f4e1d8109f888452bd48a7c0bab4f18981228869c793f707f3e39f6e
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