Instructions to use orendar/en_he_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use orendar/en_he_roberta with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("orendar/en_he_roberta") model = AutoModelForSeq2SeqLM.from_pretrained("orendar/en_he_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from orendar/en_he_roberta: direct link, hf CLI and curl.
- Browser
- Download file 999 MB
-
https://huggingface.co/orendar/en_he_roberta/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://orendar/en_he_roberta/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/orendar/en_he_roberta/resolve/main/pytorch_model.bin
999 MB
- Xet hash:
- 769af23dc98433f97913f0b0ffb248e9079a2bfbd5e0396b78d4d78387792b47
- Size of remote file:
- 999 MB
- SHA256:
- b62487d89dea6cb5728a1e27c4ea446582deca1063e5e601876940a059dfaf48
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