Instructions to use Pommu/model_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pommu/model_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Pommu/model_output")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Pommu/model_output") model = AutoModelForSequenceClassification.from_pretrained("Pommu/model_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
d8c06cd | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c9f7729dfcbbe71f621fa0406722b5af16eda8a9e54e932d598b8b7c83631f72
size 5201
|