Instructions to use mllm-dev/yelp_finetuned_sbatch_upload_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mllm-dev/yelp_finetuned_sbatch_upload_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mllm-dev/yelp_finetuned_sbatch_upload_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mllm-dev/yelp_finetuned_sbatch_upload_test") model = AutoModelForSequenceClassification.from_pretrained("mllm-dev/yelp_finetuned_sbatch_upload_test") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
runs/Mar05_21-51-14_lambda-hyperplane02/events.out.tfevents.1709704300.lambda-hyperplane02.475112.0
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