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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
fbd24af | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f1c2a7a8904d6a68c1d794f9a1338a5dc5f3cdafd80bd1ab49a11276c8e161ac
size 437562221
|