Instructions to use Jitin/manglish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jitin/manglish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Jitin/manglish")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Jitin/manglish") model = AutoModelForMaskedLM.from_pretrained("Jitin/manglish") - Notebooks
- Google Colab
- Kaggle
Commit ·
e97ba1a
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Parent(s): 4a14a70
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 sha256:684cd3a266353885b893226ce776c8924132bb8967944e8c3988f05813860ff7
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size 334021505
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