Instructions to use allenai/scibert_scivocab_uncased_field_of_study with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/scibert_scivocab_uncased_field_of_study with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="allenai/scibert_scivocab_uncased_field_of_study")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("allenai/scibert_scivocab_uncased_field_of_study") model = AutoModelForSequenceClassification.from_pretrained("allenai/scibert_scivocab_uncased_field_of_study") - Notebooks
- Google Colab
- Kaggle
You need to agree to share your contact information to access this model
This repository is publicly accessible, but you have to accept the conditions to access its files and content.
AI2 ImpACT License โ Low Risk Artifacts (LR Agreement) https://allenai.org/impact-license
Log in or Sign Up to review the conditions and access this model content.
Gated model You can list files but not access them
Preview of files found in this repository