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:
- 58038061035e3d8eae38a7d3594a4b7d38cffd028e7dfc280ec6b38dcbcbf656
- Size of remote file:
- 433 MB
- SHA256:
- 3c2de3b00e68718a69431c1af88ec1fc75db4635dd42da317de9001159b0f955
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