Instructions to use Galvin/my_ebm_model_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Galvin/my_ebm_model_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Galvin/my_ebm_model_test")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Galvin/my_ebm_model_test") model = AutoModelForTokenClassification.from_pretrained("Galvin/my_ebm_model_test") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("Galvin/my_ebm_model_test")
model = AutoModelForTokenClassification.from_pretrained("Galvin/my_ebm_model_test")Quick Links
No model card
- Downloads last month
- 6
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Galvin/my_ebm_model_test")