Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use sofia-todeschini/BioLinkBERT-Large-LitCovid-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sofia-todeschini/BioLinkBERT-Large-LitCovid-v1.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sofia-todeschini/BioLinkBERT-Large-LitCovid-v1.0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sofia-todeschini/BioLinkBERT-Large-LitCovid-v1.0") model = AutoModelForSequenceClassification.from_pretrained("sofia-todeschini/BioLinkBERT-Large-LitCovid-v1.0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 876bcd3107d9601422cb1e716e1e6368b387435595ff742494ddbb21205b2eb3
- Size of remote file:
- 3.64 kB
- SHA256:
- 79f968e5ec187c2d77653819d35f256aa7a8a8a41872264ce2c9535c51504f55
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