Instructions to use sujit27/checkpoint-3000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sujit27/checkpoint-3000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sujit27/checkpoint-3000")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sujit27/checkpoint-3000") model = AutoModelForTokenClassification.from_pretrained("sujit27/checkpoint-3000") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("sujit27/checkpoint-3000")
model = AutoModelForTokenClassification.from_pretrained("sujit27/checkpoint-3000")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sujit27/checkpoint-3000")