Instructions to use nhuquynh10/testmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nhuquynh10/testmodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nhuquynh10/testmodel")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nhuquynh10/testmodel") model = AutoModelForMaskedLM.from_pretrained("nhuquynh10/testmodel") - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| datasets: | |
| - nhuquynh10/firstdataset | |
| language: | |
| - en | |
| pipeline_tag: token-classification | |
| tags: | |
| - climate | |