Instructions to use OTAR3088/CeLLaTe_V3.3_downsampled_lr-2.353 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OTAR3088/CeLLaTe_V3.3_downsampled_lr-2.353 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="OTAR3088/CeLLaTe_V3.3_downsampled_lr-2.353")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("OTAR3088/CeLLaTe_V3.3_downsampled_lr-2.353") model = AutoModelForTokenClassification.from_pretrained("OTAR3088/CeLLaTe_V3.3_downsampled_lr-2.353") - Notebooks
- Google Colab
- Kaggle
Ctrl+K