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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
2ef6e3d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3c2b6ee0f3a3c2fc9307effe3e5a3f682267bcaf0038ced827759e06042885a4
size 4920
|