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:
- 2c9e55521cecea6ad219e3d542f4f89c38b1dac2e7b10c9c9cd8f63b8a7db9de
- Size of remote file:
- 996 MB
- SHA256:
- 67d0987878a580523032e83d87f28d9cf0027f4f284895b2d1c33bc6107df5be
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