Feature Extraction
Transformers
PyTorch
Safetensors
English
bert
scibert
scientific-text
mirror
r-compatible
Instructions to use NetworkIsLife/SciBert_Cased_DAFS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NetworkIsLife/SciBert_Cased_DAFS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="NetworkIsLife/SciBert_Cased_DAFS")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NetworkIsLife/SciBert_Cased_DAFS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload scibert_cased_DAFS.safetensors
Browse files
scibert_cased_DAFS.safetensors
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