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:
- 9d38034df106478674a2b81c67ecfa61528cb1fd8cdebf41bf5b2aa55a4feb7a
- Size of remote file:
- 996 MB
- SHA256:
- 3ff1542742a74e499ef868950098a77dcd4a27f02443bf2cbb14acfb780edc65
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