Instructions to use vania2911/9000samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vania2911/9000samples with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vania2911/9000samples") model = AutoModelForSeq2SeqLM.from_pretrained("vania2911/9000samples", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vania2911/9000samples: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/vania2911/9000samples/resolve/main/training_args.bin
- Command line
-
hf download hf://vania2911/9000samples/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vania2911/9000samples/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 4307df841c0a5fce2edeba86a6c85ef3fa827092dacced0ea3f34f47dd604502
- Size of remote file:
- 5.5 kB
- SHA256:
- b89d1931a836dbbe838c583c8d8f09d86b055cf2b5422bd15ace0069847d88c8
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