Instructions to use AnonymousSub/Legal_HTM_2_FPDM_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/Legal_HTM_2_FPDM_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnonymousSub/Legal_HTM_2_FPDM_roberta")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/Legal_HTM_2_FPDM_roberta") model = AutoModel.from_pretrained("AnonymousSub/Legal_HTM_2_FPDM_roberta") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b64ff3ad593ad66cb875828f8df4f1c08fa2382f2b0d00ac44f52127993de44b
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size 498604904
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