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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b95a88ed181ecfa61bc83413b88edc2c1bfdc457f107e4c9c2297e29eb88c24
- Size of remote file:
- 498 MB
- SHA256:
- a430af96c2085abcbc6a08f2f9b5d64d8c30d2ee52cc7d0d188f9e97f3e7337f
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