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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af0abf83ea47ccd198493248eb5ff0991f5320c0ac82f4ed357a98a3074d79eb
- Size of remote file:
- 498 MB
- SHA256:
- 609b5ed5215d2461bcdbe01273c88aa7fa302291f166aeeb8abc558296995f21
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