Instructions to use lewtun/autotrain-acronym-identification-7324788 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lewtun/autotrain-acronym-identification-7324788 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="lewtun/autotrain-acronym-identification-7324788")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("lewtun/autotrain-acronym-identification-7324788") model = AutoModelForTokenClassification.from_pretrained("lewtun/autotrain-acronym-identification-7324788", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add evaluation results on the default config and train split of acronym_identification
#10
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 default config and train split of the acronym_identification dataset by @qingxuwenli , 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.