Instructions to use saadamin2k13/urdu_text_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saadamin2k13/urdu_text_generation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("saadamin2k13/urdu_text_generation") model = AutoModelForSeq2SeqLM.from_pretrained("saadamin2k13/urdu_text_generation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from saadamin2k13/urdu_text_generation: direct link, hf CLI and curl.
- Browser
- Download file 2.33 GB
-
https://huggingface.co/saadamin2k13/urdu_text_generation/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://saadamin2k13/urdu_text_generation/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/saadamin2k13/urdu_text_generation/resolve/main/pytorch_model.bin
2.33 GB
- Xet hash:
- b88c1297cbb5d9491c0b7ed97528a9bfd64692458593e814426b32c45669b86f
- Size of remote file:
- 2.33 GB
- SHA256:
- e15f994e9cb31a624afe6257f2a540ec8d0da982b530746b9a1ce64652c1629f
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