Text Classification
Transformers
PyTorch
Safetensors
Portuguese
llama
textual-entailment
text-embeddings-inference
Instructions to use nicholasKluge/TeenyTinyLlama-160m-FaQuAD-NLI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nicholasKluge/TeenyTinyLlama-160m-FaQuAD-NLI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nicholasKluge/TeenyTinyLlama-160m-FaQuAD-NLI")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nicholasKluge/TeenyTinyLlama-160m-FaQuAD-NLI") model = AutoModelForSequenceClassification.from_pretrained("nicholasKluge/TeenyTinyLlama-160m-FaQuAD-NLI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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tags:
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- textual-entailment
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widget:
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- text:
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example_title: Exemplo
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- text:
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example_title: Exemplo
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---
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# TeenyTinyLlama-160m-FaQuAD-NLI
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## License
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TeenyTinyLlama-160m-FaQuAD-NLI is licensed under the Apache License, Version 2.0. See the [LICENSE](LICENSE) file for more details.
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tags:
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- textual-entailment
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widget:
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- text: <s>Qual a capital do Brasil?<s>A capital do Brasil é Brasília!</s>
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example_title: Exemplo
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- text: <s>Qual a capital do Brasil?<s>Anões são muito mais legais do que elfos!</s>
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example_title: Exemplo
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base_model:
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- nicholasKluge/TeenyTinyLlama-160m
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---
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# TeenyTinyLlama-160m-FaQuAD-NLI
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## License
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TeenyTinyLlama-160m-FaQuAD-NLI is licensed under the Apache License, Version 2.0. See the [LICENSE](LICENSE) file for more details.
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