Instructions to use aychang/roberta-base-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aychang/roberta-base-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aychang/roberta-base-imdb", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aychang/roberta-base-imdb") model = AutoModelForSequenceClassification.from_pretrained("aychang/roberta-base-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): e88ebfa
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 sha256:22a774239b06ab74e5077174cbbcd71ffba586b4a39f2e48126bcb16d6aa83d9
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size 498595901
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