Instructions to use diptisanap/math_identifier_updated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diptisanap/math_identifier_updated with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="diptisanap/math_identifier_updated")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("diptisanap/math_identifier_updated") model = AutoModelForSequenceClassification.from_pretrained("diptisanap/math_identifier_updated", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload 4 files
Verified signature7b6ce08 -
Upload model.safetensors
Verified signature5d74ff2 -
initial commit
Verified signature117d2ec