Instructions to use mllm-dev/yelp_finetuned_sbatch_auto_upload_full_data_train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mllm-dev/yelp_finetuned_sbatch_auto_upload_full_data_train with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mllm-dev/yelp_finetuned_sbatch_auto_upload_full_data_train")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mllm-dev/yelp_finetuned_sbatch_auto_upload_full_data_train") model = AutoModelForSequenceClassification.from_pretrained("mllm-dev/yelp_finetuned_sbatch_auto_upload_full_data_train") - Notebooks
- Google Colab
- Kaggle
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#2 opened 8 months ago
by
SLDSYSTEM
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot