Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Luca-Engel/finetuned_text_class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Luca-Engel/finetuned_text_class with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Luca-Engel/finetuned_text_class")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Luca-Engel/finetuned_text_class") model = AutoModelForSequenceClassification.from_pretrained("Luca-Engel/finetuned_text_class", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 652ceccd87d63a4ba8d7868336f5bb89fa2e968626ad54239b29d30ccad72d7d
- Size of remote file:
- 4.92 kB
- SHA256:
- 6d29e7328a264cd86260838f35fb6c253fed14e0b040b9d7d8e598ea1e43f26c
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