Instructions to use ChristBERT/sciGNAD_tcls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChristBERT/sciGNAD_tcls with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ChristBERT/sciGNAD_tcls")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ChristBERT/sciGNAD_tcls", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signaturee9f6419
-
Update README.md
Verified signaturec663b2f
-
Update README.md
Verified signature6827fce
-
Upload RobertaForSequenceClassification
Verified signature76be1c6 -
Upload RobertaForSequenceClassification
Verified signature4a5f7db
-
Upload tokenizer
Verified signature3390b57 -
Upload model
Verified signature76cfed7
-
Upload config.json with huggingface_hub
Raphael ScheibleVerified signature9d0bb02 -
initial commit
Raphael ScheibleVerified signature059bcaf