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
File size: 135 Bytes
38bd842 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:358ccd3c2d7365ef124a363f8bd8d12cb22d611edb04a09eb7e0669d7591bfc3
size 1873028406
|