Instructions to use erickdp/fine-tuning-albert-tiny-041123 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use erickdp/fine-tuning-albert-tiny-041123 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="erickdp/fine-tuning-albert-tiny-041123")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("erickdp/fine-tuning-albert-tiny-041123") model = AutoModelForSequenceClassification.from_pretrained("erickdp/fine-tuning-albert-tiny-041123") - Notebooks
- Google Colab
- Kaggle
Exploring fine-tuning for tinygpt
#2 opened 4 months ago
by
Utkarsh2025
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot