Instructions to use textattack/facebook-bart-base-RTE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/facebook-bart-base-RTE with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("textattack/facebook-bart-base-RTE") model = AutoModelForSeq2SeqLM.from_pretrained("textattack/facebook-bart-base-RTE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from textattack/facebook-bart-base-RTE: direct link, hf CLI and curl.
- Browser
- Download file 560 MB
-
https://huggingface.co/textattack/facebook-bart-base-RTE/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://textattack/facebook-bart-base-RTE@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/textattack/facebook-bart-base-RTE/resolve/refs%2Fpr%2F1/model.safetensors
560 MB
- Xet hash:
- 64bcd68b550b04983b6f87e67062f625740527fe1a28f8ecd27bfe672ebe6c79
- Size of remote file:
- 560 MB
- SHA256:
- ce97d4652b834b929bf2b9ee90c01307b29dd4234dacb0137091967bf62280d7
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