Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Lorenzo1708/IA_Trabalho01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lorenzo1708/IA_Trabalho01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Lorenzo1708/IA_Trabalho01")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Lorenzo1708/IA_Trabalho01") model = AutoModelForSequenceClassification.from_pretrained("Lorenzo1708/IA_Trabalho01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62c05233f2aff7428698d685a0b04676827518e0ba9357275dfc3c2abf3a7dae
- Size of remote file:
- 268 MB
- SHA256:
- 9a505d5835129f833d41c953b3c9cc482a34fad79533f5faeb6dd7553d5d0618
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