Instructions to use Saddammm/Model300T5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Saddammm/Model300T5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Saddammm/Model300T5") model = AutoModelForSeq2SeqLM.from_pretrained("Saddammm/Model300T5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Saddammm/Model300T5: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/Saddammm/Model300T5/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Saddammm/Model300T5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Saddammm/Model300T5/resolve/main/pytorch_model.bin
990 MB
- Xet hash:
- 638d163b1e5edc05efb7aafd62eddaf42d0020cb80af66678b09f9eae1b1702a
- Size of remote file:
- 990 MB
- SHA256:
- a65990088f31c2f9c3819c6d19507a5b17bae1075a142713fa6f5e18ead34842
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