Text Classification
Transformers
PyTorch
Safetensors
Portuguese
llama
hate-speech
text-embeddings-inference
Instructions to use nicholasKluge/TeenyTinyLlama-460m-AgNews with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nicholasKluge/TeenyTinyLlama-460m-AgNews with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nicholasKluge/TeenyTinyLlama-460m-AgNews")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nicholasKluge/TeenyTinyLlama-460m-AgNews") model = AutoModelForSequenceClassification.from_pretrained("nicholasKluge/TeenyTinyLlama-460m-AgNews", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nicholasKluge/TeenyTinyLlama-460m-AgNews: direct link, hf CLI and curl.
- Browser
- Download file 1.87 GB
-
https://huggingface.co/nicholasKluge/TeenyTinyLlama-460m-AgNews/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nicholasKluge/TeenyTinyLlama-460m-AgNews/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nicholasKluge/TeenyTinyLlama-460m-AgNews/resolve/main/pytorch_model.bin
1.87 GB
- Xet hash:
- e484e4b96895665974a8081cdc13d0272e668a46fed4bf0a0d70d6d8f5248cb5
- Size of remote file:
- 1.87 GB
- SHA256:
- 358ccd3c2d7365ef124a363f8bd8d12cb22d611edb04a09eb7e0669d7591bfc3
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