Instructions to use km20511/Test_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use km20511/Test_Model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("km20511/Test_Model") model = AutoModelForSeq2SeqLM.from_pretrained("km20511/Test_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from km20511/Test_Model: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/km20511/Test_Model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://km20511/Test_Model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/km20511/Test_Model/resolve/main/pytorch_model.bin
496 MB
- Xet hash:
- 4bbba9f096f290cd42588b850315ec8beb4faae163dbe59776e63b5751e1c70c
- Size of remote file:
- 496 MB
- SHA256:
- e067f2dc0f66c86fa7c5ffa106ff91b6f7a4c0f06b8633609500673309f6ef73
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