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:
- b807ce7f1fc1e83313c1caf71e4f22775d657f71800a987196eb5c3d3e02b181
- Size of remote file:
- 3.18 kB
- SHA256:
- dbc0fa70bef3e962016a08d61f5ad24fa0121289838fc23384216027b3794dae
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