Instructions to use Sajib-006/PathoLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sajib-006/PathoLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sajib-006/PathoLM")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sajib-006/PathoLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9681cc773493aa19179e918ba8b085c251777a90cd2f42aef828e52ba5f8aba3
- Size of remote file:
- 12 MB
- SHA256:
- 7f8e8010c816aa6fae67ef6a53e35b2907a5b54e610e1dac7e9912dc20526b40
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