Instructions to use poojasingh/pooja_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use poojasingh/pooja_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("poojasingh/pooja_model") model = AutoModelForSeq2SeqLM.from_pretrained("poojasingh/pooja_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from poojasingh/pooja_model: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/poojasingh/pooja_model/resolve/main/training_args.bin
- Command line
-
hf download hf://poojasingh/pooja_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/poojasingh/pooja_model/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- e67bc8e94bf194fc792570ca6a6c41a6bfbac9a16270237d7cd00d671b8dc36b
- Size of remote file:
- 5.24 kB
- SHA256:
- a73929fdc88588d0cba014c6ac291264c3fcae04206ae30688b112a1db58ee61
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