Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use flowfree/bert-finetuned-cryptos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flowfree/bert-finetuned-cryptos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="flowfree/bert-finetuned-cryptos")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("flowfree/bert-finetuned-cryptos") model = AutoModelForSequenceClassification.from_pretrained("flowfree/bert-finetuned-cryptos") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
pytorch_model.bin
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runs/Apr05_07-10-59_de5ccfe42537/events.out.tfevents.1680678663.de5ccfe42537.185.5
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