Instructions to use allenai/vila-scibert-cased-s2vl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/vila-scibert-cased-s2vl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="allenai/vila-scibert-cased-s2vl")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("allenai/vila-scibert-cased-s2vl") model = AutoModelForTokenClassification.from_pretrained("allenai/vila-scibert-cased-s2vl") - 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 sha256:16afdb7af78180a6ac113ccdab4213c0f6637e5432b60f01152f47e4f9673ec6
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size 437520404
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