Instructions to use Sakil/imdbsentdistilbertmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sakil/imdbsentdistilbertmodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sakil/imdbsentdistilbertmodel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sakil/imdbsentdistilbertmodel") model = AutoModelForSequenceClassification.from_pretrained("Sakil/imdbsentdistilbertmodel") - Notebooks
- Google Colab
- Kaggle
model weights added
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:279d9273174cec2c9f26ec76bf029d2535c34cbab9e5ec5f624e58bd2227e033
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size 267860081
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