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:
- c1fb82c02acd1d6257fa698e460c523a635d04cccd75ee357c66364111e053a1
- Size of remote file:
- 996 MB
- SHA256:
- 9d5d4d5bd2649d4e59def5bd8d9499a21c4553a49d281fa6d0ec539b60ddccef
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