Instructions to use rdj-034/lab1_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rdj-034/lab1_finetuning with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rdj-034/lab1_finetuning") model = AutoModelForSeq2SeqLM.from_pretrained("rdj-034/lab1_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download target.spm from rdj-034/lab1_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 802 kB
-
https://huggingface.co/rdj-034/lab1_finetuning/resolve/4c322581e0761a502852d4f6363649acacca6452/target.spm
- Command line
-
hf download hf://rdj-034/lab1_finetuning@4c322581e0761a502852d4f6363649acacca6452/target.spm
-
curl -L -o target.spm https://huggingface.co/rdj-034/lab1_finetuning/resolve/4c322581e0761a502852d4f6363649acacca6452/target.spm
802 kB
- Xet hash:
- bc21a53c250d5bced13fc937479c3fb6edae5a62ccfb18ef7539a311a69c328b
- Size of remote file:
- 802 kB
- SHA256:
- 78d0e717c77053f1c4b856d8661d9cb87c64f083a35418c087b9146300e4f585
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