Text Classification
Transformers
ONNX
Safetensors
English
roberta
code
programming-language
code-classification
text-embeddings-inference
Instructions to use philomath-1209/programming-language-identification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philomath-1209/programming-language-identification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="philomath-1209/programming-language-identification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("philomath-1209/programming-language-identification") model = AutoModelForSequenceClassification.from_pretrained("philomath-1209/programming-language-identification", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Maninder Singh commited on
Commit ·
748090d
1
Parent(s): 5d5ca4b
updated model card
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README.md
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<li>Training Computer Configuration: GPU:1xNvidia Tesla T4, VRam: 16GB, Ram:112GB,Cores:6 Cores </li>
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<li>Training Time taken: exactly 7 hours for 25 epochs</li>
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<li>Training Hyper-parameters: </li>
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<li>Training Computer Configuration: GPU:1xNvidia Tesla T4, VRam: 16GB, Ram:112GB,Cores:6 Cores </li>
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<li>Training Time taken: exactly 7 hours for 25 epochs</li>
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<li>Training Hyper-parameters: </li>
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