Instructions to use nateraw/bert-base-uncased-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nateraw/bert-base-uncased-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nateraw/bert-base-uncased-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nateraw/bert-base-uncased-emotion") model = AutoModelForSequenceClassification.from_pretrained("nateraw/bert-base-uncased-emotion") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
064d252
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Parent(s): 36085fc
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 sha256:2f0dda4bcb3ae9b5a48e04a07d519a072583eac1d975c62226fcbc4b46d54abd
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size 437954632
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