Instructions to use harish/PT-v3-dev-test-all-PreTrain-e7-select with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harish/PT-v3-dev-test-all-PreTrain-e7-select with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="harish/PT-v3-dev-test-all-PreTrain-e7-select")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("harish/PT-v3-dev-test-all-PreTrain-e7-select") model = AutoModelForMaskedLM.from_pretrained("harish/PT-v3-dev-test-all-PreTrain-e7-select") - Notebooks
- Google Colab
- Kaggle
Commit ·
435033f
1
Parent(s): 63c9a60
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:a8a8b18ab09614a1658a3c54dd7918aa9d309c4390874c526556aa049cb9caf9
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size 711905363
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