Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use MarioAlviano/classifier-chapter4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MarioAlviano/classifier-chapter4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MarioAlviano/classifier-chapter4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MarioAlviano/classifier-chapter4") model = AutoModelForSequenceClassification.from_pretrained("MarioAlviano/classifier-chapter4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9545781dca16a22511c1e76d6cfacf6154efc0f9b5900e132ec8e59b923e91d0
- Size of remote file:
- 5.84 kB
- SHA256:
- 52c41a7207461b07dee2b33e608c7bb31c8e8c4d255da0c397586fc16d70f680
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