Instructions to use amarshiv86/sentiment-analysis-imdb-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amarshiv86/sentiment-analysis-imdb-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="amarshiv86/sentiment-analysis-imdb-model")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("amarshiv86/sentiment-analysis-imdb-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ci: update model.safetensors
Browse files- model/model.safetensors +3 -0
model/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a782538c23c558ad50fe25fc1e094f8d1462009a10b9a686d007760e7701c38f
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size 267832560
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