Instructions to use tiagoblima/experiments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tiagoblima/experiments with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tiagoblima/experiments") model = AutoModelForSeq2SeqLM.from_pretrained("tiagoblima/experiments", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tiagoblima/experiments: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/tiagoblima/experiments/resolve/main/training_args.bin
- Command line
-
hf download hf://tiagoblima/experiments/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tiagoblima/experiments/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 47b5bdbe4467e468c672f3229d0eed89bec0452138f674818d0825b21613512f
- Size of remote file:
- 4.73 kB
- SHA256:
- 2dbaabd4aa130b0022fd44be807f9f95da22babec38e1af49a5df80a0678edbc
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