Text Classification
Transformers
Safetensors
Portuguese
deberta
fake-news
sequence-classification
portuguese
Eval Results (legacy)
Instructions to use HenriqueLz/albertina-100m-portuguese-ptbr-fakerecogna2-extrativa-elections with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HenriqueLz/albertina-100m-portuguese-ptbr-fakerecogna2-extrativa-elections with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HenriqueLz/albertina-100m-portuguese-ptbr-fakerecogna2-extrativa-elections")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HenriqueLz/albertina-100m-portuguese-ptbr-fakerecogna2-extrativa-elections") model = AutoModelForSequenceClassification.from_pretrained("HenriqueLz/albertina-100m-portuguese-ptbr-fakerecogna2-extrativa-elections", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from HenriqueLz/albertina-100m-portuguese-ptbr-fakerecogna2-extrativa-elections: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/HenriqueLz/albertina-100m-portuguese-ptbr-fakerecogna2-extrativa-elections/resolve/7e1834434cd57669f76ae6569fa4d5b773bafa50/model.safetensors
- Command line
-
hf download hf://HenriqueLz/albertina-100m-portuguese-ptbr-fakerecogna2-extrativa-elections@7e1834434cd57669f76ae6569fa4d5b773bafa50/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/HenriqueLz/albertina-100m-portuguese-ptbr-fakerecogna2-extrativa-elections/resolve/7e1834434cd57669f76ae6569fa4d5b773bafa50/model.safetensors
557 MB
- Xet hash:
- d43a39e952c633b0d516e39b04a072d4d175e5ae2c6824f27f10b372b33f1d64
- Size of remote file:
- 557 MB
- SHA256:
- 4ee32718c51230b5a213ded5decb9b5efd72be3b715e09ae4ca987955508a689
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