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:
- d9e22bc41de9ff0114f4479572ac75ac81e4f1ec46ebf4fa1260f865dec2f507
- Size of remote file:
- 498 MB
- SHA256:
- 6092e34551a274c6b0ce3ac68b08aac0b1727add8a6034eef262e2eab94b5cb7
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