Instructions to use textattack/facebook-bart-large-RTE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/facebook-bart-large-RTE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/facebook-bart-large-RTE")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/facebook-bart-large-RTE") model = AutoModelForSequenceClassification.from_pretrained("textattack/facebook-bart-large-RTE", 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.a5b5a9d
-
Update vocab.json
a0f41a3 -
Update config.json
c3e5b9b -
Update merges.txt
7a3809a -
Update special_tokens_map.json
f29d0ac -
Update tokenizer_config.json
133e158 -
Update eval_results_rte.txt
2ca8141 -
Update pytorch_model.bin
d12ce09 -
Update training_args.bin
2f066f5 -
initial commit
5c972ed