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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sajib-006/PathoLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pathoLM.png from Sajib-006/PathoLM: direct link, hf CLI and curl.
- Browser
- Download file 312 kB
-
https://huggingface.co/Sajib-006/PathoLM/resolve/main/pathoLM.png
- Command line
-
hf download hf://Sajib-006/PathoLM/pathoLM.png
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curl -L -o pathoLM.png https://huggingface.co/Sajib-006/PathoLM/resolve/main/pathoLM.png
312 kB

- Xet hash:
- 5de76592a463c7e7c597281f1729a1a8b2c6c21d71e67726a66db92249f40d7f
- Size of remote file:
- 312 kB
- SHA256:
- bcb379dbbcd17e4a8c71af7a36f26b32398bf4af511043f0dffbab5fef36ee0e
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