Instructions to use Javel/linkedin_post_t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Javel/linkedin_post_t5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Javel/linkedin_post_t5") model = AutoModelForSeq2SeqLM.from_pretrained("Javel/linkedin_post_t5") - Notebooks
- Google Colab
- Kaggle
Commit ·
d1ccb77
1
Parent(s): 060d42a
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:19524d84b0cd161375484e8cb1dd286fc3ccaf70c8e9778f44bb20ff908c94c3
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size 891625348
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