Instructions to use aprab/new_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aprab/new_output with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("aprab/new_output") model = AutoModelForSeq2SeqLM.from_pretrained("aprab/new_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from aprab/new_output: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/aprab/new_output/resolve/main/training_args.bin
- Command line
-
hf download hf://aprab/new_output/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aprab/new_output/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- f73c4d45531b172dc00e0a34822869f811edb74cec3ec858879b4a4d266063c1
- Size of remote file:
- 5.05 kB
- SHA256:
- dd8f7e26404f9c8a031e82dc4254375001381c426d207c94856b3d6a7b5d7fbf
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