Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use lyrisha/bert-finetuned-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lyrisha/bert-finetuned-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lyrisha/bert-finetuned-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lyrisha/bert-finetuned-sentiment") model = AutoModelForSequenceClassification.from_pretrained("lyrisha/bert-finetuned-sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2717086b730452e010bb03a4292aac7c775f8bf8f424c6ffd2d0ab78bf01ca2a
- Size of remote file:
- 4.98 kB
- SHA256:
- 3607274e7514ca7a86a9d83678643ec41d253ce5f38cecb164696d937d50b83c
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