Instructions to use gbarone77/polibert_sa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gbarone77/polibert_sa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gbarone77/polibert_sa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gbarone77/polibert_sa") model = AutoModelForSequenceClassification.from_pretrained("gbarone77/polibert_sa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
5bcef76
1
Parent(s): 134f0fd
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:b8f36a67eff19f120d08b911413f85fe75f928780652cbece9ae4ca8ce5986df
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size 442799164
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