Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Wellyowo/bert_finetune_sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wellyowo/bert_finetune_sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Wellyowo/bert_finetune_sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Wellyowo/bert_finetune_sst2") model = AutoModelForSequenceClassification.from_pretrained("Wellyowo/bert_finetune_sst2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60fec7601021d04f2a4c78fee76d1532201ca0d84ec103f60ea7d22523b4ffd1
- Size of remote file:
- 438 MB
- SHA256:
- 7a77873b0c1bc8c42d025d6759f4882a424a38d729508ed28e12908d74bc4883
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