Text Classification
Transformers
Safetensors
Portuguese
bert
portuguese
sinônimos
Eval Results (legacy)
text-embeddings-inference
Instructions to use lrds-code/simnonym with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lrds-code/simnonym with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lrds-code/simnonym")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lrds-code/simnonym") model = AutoModelForSequenceClassification.from_pretrained("lrds-code/simnonym") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f74361bf44058aaec19b2543c1021f4ea305e6006c08828d6b9295f35343b3df
- Size of remote file:
- 436 MB
- SHA256:
- 23d32723848ec1958462f3252826d1ad2abf5acc038de6c5f4d062e100f0c9dc
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