Instructions to use mllm-dev/merge_diff_data_IMDB_10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mllm-dev/merge_diff_data_IMDB_10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mllm-dev/merge_diff_data_IMDB_10")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mllm-dev/merge_diff_data_IMDB_10") model = AutoModelForSequenceClassification.from_pretrained("mllm-dev/merge_diff_data_IMDB_10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b61fa5dabc5d24410051e7ee5ae7a7a3b726d381f949ee05adc924ce3479f0dc
- Size of remote file:
- 498 MB
- SHA256:
- 900299cc2508acd674a7949293a9f29dc199f90bf1ec20b5c0e7f8253ac78ad9
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