Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use fffffly/biobert_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fffffly/biobert_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fffffly/biobert_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fffffly/biobert_model") model = AutoModelForSequenceClassification.from_pretrained("fffffly/biobert_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02cbc539252a4f7df7cb86219642021c2e1efb29e8a2e299b371cb1da22c89d5
- Size of remote file:
- 3.9 kB
- SHA256:
- 5be1d470422131e0adcf236c9def66c9ffd1b619af32798beb739de3ac4c74bb
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