Instructions to use bella/bert_finetuning_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bella/bert_finetuning_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bella/bert_finetuning_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bella/bert_finetuning_test") model = AutoModelForSequenceClassification.from_pretrained("bella/bert_finetuning_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.1d5ed9e
-
upload flax model
b5400fb -
allow flax
c897b93
-
Update training_args.bin
a647242 -
Update config.json
4872470 -
Update eval_results_mrpc.txt
5da2052 -
Update pytorch_model.bin
d292717 -
Update vocab.txt
9c5d6b6 -
Update special_tokens_map.json
0a3a4e4 -
Update tokenizer_config.json
4a57e06 -
initial commit
c3a8670