Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use sofia-todeschini/BioLinkBERT-LitCovid-v1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sofia-todeschini/BioLinkBERT-LitCovid-v1.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sofia-todeschini/BioLinkBERT-LitCovid-v1.1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sofia-todeschini/BioLinkBERT-LitCovid-v1.1") model = AutoModelForSequenceClassification.from_pretrained("sofia-todeschini/BioLinkBERT-LitCovid-v1.1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6114f31abb712c61e4030eaaae02daa5ae5ce7edf17351e6e361d58feea7c7eb
- Size of remote file:
- 3.64 kB
- SHA256:
- 0b7134e0087d4f95aaaaaab918850a94e328c4dabb4f383a0b8399b0b331faed
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