Instructions to use tals/albert-base-vitaminc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tals/albert-base-vitaminc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tals/albert-base-vitaminc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tals/albert-base-vitaminc") model = AutoModelForSequenceClassification.from_pretrained("tals/albert-base-vitaminc") - Notebooks
- Google Colab
- Kaggle
Add evaluation results on tals/vitaminc dataset
#1
by autoevaluator HF Staff - opened
Beep boop, I am a bot from Hugging Face's automatic model evaluator π!
Your model has been evaluated on the tals/vitaminc dataset by @SalimHF , using the predictions stored here.
Accept this pull request to see the results displayed on the Hub leaderboard.
Evaluate your model on more datasets here.
This comment has been hidden