Instructions to use princetyagi/iqlt5base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use princetyagi/iqlt5base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("princetyagi/iqlt5base") model = AutoModelForSeq2SeqLM.from_pretrained("princetyagi/iqlt5base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from princetyagi/iqlt5base: direct link, hf CLI and curl.
- Browser
- Download file 1.8 GB
-
https://huggingface.co/princetyagi/iqlt5base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://princetyagi/iqlt5base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/princetyagi/iqlt5base/resolve/main/pytorch_model.bin
1.8 GB
- Xet hash:
- e77e69a1ceaa42dd2276d44b1b7f8151a9476c167d7802496016326c06cca2d3
- Size of remote file:
- 1.8 GB
- SHA256:
- 2e2bde01e6b8e3ded2dc4842b561d673a5d61c2a212115d54b727175d6b99472
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