Instructions to use Mustarz/imdb-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mustarz/imdb-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mustarz/imdb-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mustarz/imdb-2") model = AutoModelForSequenceClassification.from_pretrained("Mustarz/imdb-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc4c4ffa628e2732c1d494aa8a821f5bbecc75a7d9624c3ce87a05e30ea8d525
- Size of remote file:
- 3.96 kB
- SHA256:
- 4354d23fb265f942fb16f85b96abb48d21c5bc7bc50eef203e7fc0ffd5cd14b3
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