Instructions to use vania2911/11_6kmslsamples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vania2911/11_6kmslsamples with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vania2911/11_6kmslsamples") model = AutoModelForSeq2SeqLM.from_pretrained("vania2911/11_6kmslsamples", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vania2911/11_6kmslsamples: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/vania2911/11_6kmslsamples/resolve/main/training_args.bin
- Command line
-
hf download hf://vania2911/11_6kmslsamples/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vania2911/11_6kmslsamples/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- c20811d5801e714b16a2356465e2835708742de692875662b53654163d127ed3
- Size of remote file:
- 5.56 kB
- SHA256:
- 3f6a1e729b0d850c36538fc38a886a4c851f7b5005fe9d1a364dbae2eaeb8e01
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