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:
- 30ad92e8b8b39285c610da6a7926c42948f1c6dd6ff27f90268c866d0c4962b1
- Size of remote file:
- 996 MB
- SHA256:
- 44e839bc4d38ec138fdad0307c0ada35b9d5d11e8d32d7a4ddc7e1538a0738e0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.