Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Noola/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Noola/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Noola/results")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Noola/results") model = AutoModelForSequenceClassification.from_pretrained("Noola/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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model-index:
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- name: results
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Pytorch 2.9.0+cu126
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- Datasets 4.0.0
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- Tokenizers 0.22.1
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model-index:
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- name: results
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results: []
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inference_providers:
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- name: "CustomProvider"
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type: "python"
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path: "provider.py"
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description: "Runs inference using my custom backend"
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Pytorch 2.9.0+cu126
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- Datasets 4.0.0
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- Tokenizers 0.22.1
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