Instructions to use heyal/Bert_sentiment5000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use heyal/Bert_sentiment5000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="heyal/Bert_sentiment5000")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("heyal/Bert_sentiment5000") model = AutoModelForSequenceClassification.from_pretrained("heyal/Bert_sentiment5000") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7b57bf16dc1480e1c3fa12ef17987bbb3dc3ef9acc615e709cee805981d66b30
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size 433284180
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