Instructions to use Ghani-25/predy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ghani-25/predy with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ghani-25/predy") model = AutoModelForSeq2SeqLM.from_pretrained("Ghani-25/predy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Ghani-25/predy: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/Ghani-25/predy/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Ghani-25/predy/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Ghani-25/predy/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- d343681035c4c9ad3fba604f997a4eb680436003ab66c7240f69e1e97bf40335
- Size of remote file:
- 892 MB
- SHA256:
- 36ab1304506644535f1dd7e8c41b4886313f863bcc4c4010c6be20d18402c862
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