Instructions to use KalaiselvanD/albert_model__25_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KalaiselvanD/albert_model__25_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KalaiselvanD/albert_model__25_4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KalaiselvanD/albert_model__25_4") model = AutoModelForSequenceClassification.from_pretrained("KalaiselvanD/albert_model__25_4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
99d7418 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5a1b58fbea94e2c786da83239d46fc15344861b35bcb818870b2eed2fff0fffe
size 4984
|