Text Classification
Transformers
PyTorch
Portuguese
bert
gun violence
human rights
text-embeddings-inference
Instructions to use belisards/gun_violence_ptbr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use belisards/gun_violence_ptbr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="belisards/gun_violence_ptbr")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("belisards/gun_violence_ptbr") model = AutoModelForSequenceClassification.from_pretrained("belisards/gun_violence_ptbr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from belisards/gun_violence_ptbr: direct link, hf CLI and curl.
- Browser
- Download file 1.34 GB
-
https://huggingface.co/belisards/gun_violence_ptbr/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://belisards/gun_violence_ptbr/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/belisards/gun_violence_ptbr/resolve/main/pytorch_model.bin
1.34 GB
- Xet hash:
- 0a3ee66ff60a859002adb3b7b1298d7eb55730a7f8b6b5c761896b977b92201c
- Size of remote file:
- 1.34 GB
- SHA256:
- 361d13cde06c6719fad0c1f7a1f4bf255a1b54f3025c1890fe7110b2b2364506
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