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:
- 3533c60b626ffbf902a80557638f4e2022c261c20c0d7ebf7b124e3b623285ec
- Size of remote file:
- 996 MB
- SHA256:
- 21d06d21c8c41d1eccdff8a7ddda7b4e60715f7a815571e10fd1902185fb2d59
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