Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use sofia-todeschini/BlueBERT-LitCovid-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sofia-todeschini/BlueBERT-LitCovid-v1.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sofia-todeschini/BlueBERT-LitCovid-v1.0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sofia-todeschini/BlueBERT-LitCovid-v1.0") model = AutoModelForSequenceClassification.from_pretrained("sofia-todeschini/BlueBERT-LitCovid-v1.0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e969f681e1bdb2391b156e0a88466bdc953c2ece95dbbf6e690c7031c501a536
- Size of remote file:
- 3.58 kB
- SHA256:
- c8b227968c8b309c2382830d578a52b3fc7a93fdc97ec7b8539f15bf0ade9b27
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