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 training_args.bin from nicholasKluge/TeenyTinyLlama-460m-AgNews: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/nicholasKluge/TeenyTinyLlama-460m-AgNews/resolve/main/training_args.bin
- Command line
-
hf download hf://nicholasKluge/TeenyTinyLlama-460m-AgNews/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nicholasKluge/TeenyTinyLlama-460m-AgNews/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- 38208470cc25a0770a67afc9452bc4b18e5a6d29ac5e2037a582cb54b66a22f4
- Size of remote file:
- 4.66 kB
- SHA256:
- 6387170831b2161f306a7ee3cc47dc0a8355b69d7ffac9de57fac8a6235312e2
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