Instructions to use mllm-dev/merge_diff_data_YELP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mllm-dev/merge_diff_data_YELP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mllm-dev/merge_diff_data_YELP")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mllm-dev/merge_diff_data_YELP") model = AutoModelForSequenceClassification.from_pretrained("mllm-dev/merge_diff_data_YELP", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e97e632fa5c981481395f04bb85e5a2701b073f3421e2d16b4f953892c772865
- Size of remote file:
- 4.35 kB
- SHA256:
- 328e41aa751cc01e416429281827b79d67f4f3c19f2ebfcbda21c2d171b914ee
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