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")# 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
Upload model.safetensors
Browse files- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3b7a0cd7b7ec1a7b4aeee1057d7e58fef57d52eef46d3f1cde1c68b68eb33bb4
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size 1340622760
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