Instructions to use joeldenny/complaint_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joeldenny/complaint_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="joeldenny/complaint_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("joeldenny/complaint_model") model = AutoModelForSequenceClassification.from_pretrained("joeldenny/complaint_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
7f1853a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3970539929dcebd08d0e416f9b2e26324ea5aeb51ee639583bf7ed538d941fe5
size 3579
|