Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use sabianwaw/finetuning-bert-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sabianwaw/finetuning-bert-text-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sabianwaw/finetuning-bert-text-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sabianwaw/finetuning-bert-text-classification") model = AutoModelForSequenceClassification.from_pretrained("sabianwaw/finetuning-bert-text-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 561acb6250e46273df847aba036f6e7b783aeeaf4cdc48d6353b6736c24b6b7d
- Size of remote file:
- 5.84 kB
- SHA256:
- c1780c6e5016822c1d758cd6a5116e342c9f5a5bf99efc56f3821f91a0c3ae63
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