Sentence Similarity
Transformers
PyTorch
English
deberta-v2
feature-extraction
PubChem
chemistry
biology
deberta-v3
text-embeddings-inference
Instructions to use mschuh/PubChemDeBERTa-augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mschuh/PubChemDeBERTa-augmented with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mschuh/PubChemDeBERTa-augmented") model = AutoModel.from_pretrained("mschuh/PubChemDeBERTa-augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from mschuh/PubChemDeBERTa-augmented: direct link, hf CLI and curl.
- Browser
- Download file 8.65 MB
-
https://huggingface.co/mschuh/PubChemDeBERTa-augmented/resolve/main/tokenizer.json
- Command line
-
hf download hf://mschuh/PubChemDeBERTa-augmented/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/mschuh/PubChemDeBERTa-augmented/resolve/main/tokenizer.json
8.65 MB
File too large to display, you can check the raw version instead.