Instructions to use ldm0612/lab1_random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ldm0612/lab1_random with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ldm0612/lab1_random") model = AutoModelForSeq2SeqLM.from_pretrained("ldm0612/lab1_random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download target.spm from ldm0612/lab1_random: direct link, hf CLI and curl.
- Browser
- Download file 802 kB
-
https://huggingface.co/ldm0612/lab1_random/resolve/main/target.spm
- Command line
-
hf download hf://ldm0612/lab1_random/target.spm
-
curl -L -o target.spm https://huggingface.co/ldm0612/lab1_random/resolve/main/target.spm
802 kB
- Xet hash:
- 45b306e487e34ffcb94071ef015f0b97a9d0e89a28b77f46490a22d53f80928e
- Size of remote file:
- 802 kB
- SHA256:
- 78d0e717c77053f1c4b856d8661d9cb87c64f083a35418c087b9146300e4f585
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