Instructions to use ldm0612/lab1_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ldm0612/lab1_finetuning with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ldm0612/lab1_finetuning") model = AutoModelForSeq2SeqLM.from_pretrained("ldm0612/lab1_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ldm0612/lab1_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/ldm0612/lab1_finetuning/resolve/main/training_args.bin
- Command line
-
hf download hf://ldm0612/lab1_finetuning/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ldm0612/lab1_finetuning/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 9dd7924bf05ae20eea5bcbcd7336c60d544ad55ab9d959b6dd9392f1f183c0c5
- Size of remote file:
- 5.5 kB
- SHA256:
- 16f5d17ade1938a4dbfefabeeb5b96c5a53c7246675cc8382b7460047dbeeb95
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