Text Classification
Transformers
ONNX
Safetensors
Portuguese
bert
sentiment
stance
portuguese
rashomon
text-embeddings-inference
Instructions to use drifting-walter/kikori with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use drifting-walter/kikori with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="drifting-walter/kikori")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("drifting-walter/kikori") model = AutoModelForSequenceClassification.from_pretrained("drifting-walter/kikori", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from drifting-walter/kikori: direct link, hf CLI and curl.
- Browser
- Download file 678 kB
-
https://huggingface.co/drifting-walter/kikori/resolve/main/tokenizer.json
- Command line
-
hf download hf://drifting-walter/kikori/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/drifting-walter/kikori/resolve/main/tokenizer.json
678 kB
File too large to display, you can check the raw version instead.