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
- Xet hash:
- a51ec1effbb29dff495bd37f4e95e9ed72a618417b16eba657ed5b2c9696609e
- Size of remote file:
- 268 MB
- SHA256:
- 592c606693d2c228387d3ad24869a626c035f2cc463c70ea4181b8ed381fd681
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