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:
- d06a5169d8c6eb8899ebd15ccf12f62edfc0febfa78a9dd6c59df426fc90311d
- Size of remote file:
- 4.54 kB
- SHA256:
- 202a5542d25d5172e8161c0589eaf5ec460cc8e907a908b0e1388d20c67b502b
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