Instructions to use mllm-dev/merge_diff_data_IMDB 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 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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mllm-dev/merge_diff_data_IMDB") model = AutoModelForSequenceClassification.from_pretrained("mllm-dev/merge_diff_data_IMDB", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb85ce7c4cf089a733e3a551f6336cad4e50b33f40c7cbd75f12c6f9a7a56e2d
- Size of remote file:
- 627 Bytes
- SHA256:
- a2fad01f66d8c9b6b48a923b69fdbc3745a4a758206fb7214d9140234df6ab7c
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