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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("flowfree/bert-finetuned-cryptos") model = AutoModelForSequenceClassification.from_pretrained("flowfree/bert-finetuned-cryptos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from flowfree/bert-finetuned-cryptos: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/flowfree/bert-finetuned-cryptos/resolve/main/training_args.bin
- Command line
-
hf download hf://flowfree/bert-finetuned-cryptos/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/flowfree/bert-finetuned-cryptos/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 98ca1fb5c64fdcde390a44f6ef0332033f6c754a4f7f152c15b4d55368316c8b
- Size of remote file:
- 3.58 kB
- SHA256:
- f6369fdb8534641a1eedb9fd4dcfc2918363951b89aeef5326604955b7272f16
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