Text Classification
Transformers
Safetensors
Portuguese
English
deberta-v2
aes
Eval Results (legacy)
text-embeddings-inference
Instructions to use kamel-usp/jbcs2025_albertina-1b5-portuguese-ptbr-encoder-encoder_classification-C1-essay_only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kamel-usp/jbcs2025_albertina-1b5-portuguese-ptbr-encoder-encoder_classification-C1-essay_only with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kamel-usp/jbcs2025_albertina-1b5-portuguese-ptbr-encoder-encoder_classification-C1-essay_only")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kamel-usp/jbcs2025_albertina-1b5-portuguese-ptbr-encoder-encoder_classification-C1-essay_only") model = AutoModelForSequenceClassification.from_pretrained("kamel-usp/jbcs2025_albertina-1b5-portuguese-ptbr-encoder-encoder_classification-C1-essay_only", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download emissions.csv from kamel-usp/jbcs2025_albertina-1b5-portuguese-ptbr-encoder-encoder_classification-C1-essay_only: direct link, hf CLI and curl.
- Browser
- Download file 885 Bytes
-
https://huggingface.co/kamel-usp/jbcs2025_albertina-1b5-portuguese-ptbr-encoder-encoder_classification-C1-essay_only/resolve/main/emissions.csv
- Command line
-
hf download hf://kamel-usp/jbcs2025_albertina-1b5-portuguese-ptbr-encoder-encoder_classification-C1-essay_only/emissions.csv
-
curl -L -o emissions.csv https://huggingface.co/kamel-usp/jbcs2025_albertina-1b5-portuguese-ptbr-encoder-encoder_classification-C1-essay_only/resolve/main/emissions.csv
885 Bytes
| timestamp,project_name,run_id,experiment_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue | |
| 2025-07-10T17:08:59,jbcs2025,7fb4d199-6f0f-4619-b491-03e14cbeafbd,albertina-1b5-portuguese-ptbr-encoder-encoder_classification-C1-essay_only,4549.216668849986,0.10359822916253514,2.2772762148680895e-05,50.27055555555555,239.75622680535508,58.0,0.05155944090119914,0.30703561368385035,0.07201820222251853,0.430613256807568,Romania,ROU,gorj county,,,Linux-5.15.0-143-generic-x86_64-with-glibc2.35,3.12.11,3.0.2,36,Intel(R) Xeon(R) Gold 6248R CPU @ 3.00GHz,1,1 x NVIDIA RTX A6000,23.2904,45.0489,393.6063117980957,machine,N,1.0 | |