Instructions to use rajpurkarlab/gilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rajpurkarlab/gilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="rajpurkarlab/gilbert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("rajpurkarlab/gilbert") model = AutoModelForTokenClassification.from_pretrained("rajpurkarlab/gilbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from rajpurkarlab/gilbert: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/rajpurkarlab/gilbert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://rajpurkarlab/gilbert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/rajpurkarlab/gilbert/resolve/main/pytorch_model.bin
431 MB
- Xet hash:
- 7ad02e358eeae6ab3d89672fb4fef4e5a3f81ed58221a99b343bedf73a4ee00d
- Size of remote file:
- 431 MB
- SHA256:
- da2b38762ed6c31f929accce794aab5d489802786fb938d7f0e5d8ddd46d5030
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