Instructions to use KalaiselvanD/fine_tuned_model_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KalaiselvanD/fine_tuned_model_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KalaiselvanD/fine_tuned_model_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KalaiselvanD/fine_tuned_model_1") model = AutoModelForSequenceClassification.from_pretrained("KalaiselvanD/fine_tuned_model_1") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("KalaiselvanD/fine_tuned_model_1")
model = AutoModelForSequenceClassification.from_pretrained("KalaiselvanD/fine_tuned_model_1")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KalaiselvanD/fine_tuned_model_1")