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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c41e9cd511c9771d4dccad11b8697046840a1595e824535c0fbb1af9e1bd898
- Size of remote file:
- 498 MB
- SHA256:
- a4efd74d18ea204d476313f33aacc6885bdae955a99d8f747c8b4c95897cb62e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.