Text Classification
Transformers
Safetensors
Portuguese
English
bert
aes
Eval Results (legacy)
text-embeddings-inference
Instructions to use kamel-usp/jbcs2025_bert-large-portuguese-cased-encoder_classification-C4-essay_only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kamel-usp/jbcs2025_bert-large-portuguese-cased-encoder_classification-C4-essay_only with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kamel-usp/jbcs2025_bert-large-portuguese-cased-encoder_classification-C4-essay_only")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kamel-usp/jbcs2025_bert-large-portuguese-cased-encoder_classification-C4-essay_only") model = AutoModelForSequenceClassification.from_pretrained("kamel-usp/jbcs2025_bert-large-portuguese-cased-encoder_classification-C4-essay_only", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from kamel-usp/jbcs2025_bert-large-portuguese-cased-encoder_classification-C4-essay_only: direct link, hf CLI and curl.
- Browser
- Download file 1.34 GB
-
https://huggingface.co/kamel-usp/jbcs2025_bert-large-portuguese-cased-encoder_classification-C4-essay_only/resolve/main/model.safetensors
- Command line
-
hf download hf://kamel-usp/jbcs2025_bert-large-portuguese-cased-encoder_classification-C4-essay_only/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/kamel-usp/jbcs2025_bert-large-portuguese-cased-encoder_classification-C4-essay_only/resolve/main/model.safetensors
1.34 GB
- Xet hash:
- 801b155276be3758e4d399c61443e124e2c7c0cb5d62c63bd553b65aa1798f18
- Size of remote file:
- 1.34 GB
- SHA256:
- 72fd7c673a845388e23d367b9930e3f731214d6fffed987ea4ade19f0caa5a2c
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