Instructions to use simonloewe/stigma_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonloewe/stigma_models with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="simonloewe/stigma_models")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("simonloewe/stigma_models") model = AutoModelForSequenceClassification.from_pretrained("simonloewe/stigma_models", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
92b9f1a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e3123bb444fcb1096aa3a773774c3c9eee8cb9d6331b894f1ec8953f09692681
size 3579
|