Instructions to use anirvankrishna/TaskA_Prefix_Finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anirvankrishna/TaskA_Prefix_Finetune with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("anirvankrishna/TaskA_Prefix_Finetune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from anirvankrishna/TaskA_Prefix_Finetune: direct link, hf CLI and curl.
- Browser
- Download file 6.04 kB
-
https://huggingface.co/anirvankrishna/TaskA_Prefix_Finetune/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://anirvankrishna/TaskA_Prefix_Finetune/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/anirvankrishna/TaskA_Prefix_Finetune/resolve/main/pytorch_model.bin
6.04 kB
- Xet hash:
- d912fb063090a12b653af4fefab258e8d9a8d0f78e7584646bb69fd8f2620c2f
- Size of remote file:
- 6.04 kB
- SHA256:
- 8d296d8763f5ef2e38958c1ec2228c39025c4700fcf5c1a879da051c7a4844ce
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