Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ajiayi/finetuning-sentiment-model-bank_reviews with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ajiayi/finetuning-sentiment-model-bank_reviews with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ajiayi/finetuning-sentiment-model-bank_reviews")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ajiayi/finetuning-sentiment-model-bank_reviews") model = AutoModelForSequenceClassification.from_pretrained("ajiayi/finetuning-sentiment-model-bank_reviews", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5fb9a3030b65c7a65f75b60c0fc7c7061e67fd364ef9df7e1e81133f6b829c4
- Size of remote file:
- 4.92 kB
- SHA256:
- b23aafbec48d7184846ba5cf92d9215b37ab7264d8702624d0a65bba37193a62
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