Feature Extraction
Transformers
PyTorch
xlm-roberta
biomedical
bionlp
entity linking
embedding
bert
text-embeddings-inference
Instructions to use andorei/BERGAMOT-multilingual-GAT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andorei/BERGAMOT-multilingual-GAT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="andorei/BERGAMOT-multilingual-GAT")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("andorei/BERGAMOT-multilingual-GAT") model = AutoModel.from_pretrained("andorei/BERGAMOT-multilingual-GAT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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