Text Classification
Transformers
PyTorch
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use sgugger/finetuned-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgugger/finetuned-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sgugger/finetuned-bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sgugger/finetuned-bert") model = AutoModelForSequenceClassification.from_pretrained("sgugger/finetuned-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sgugger/finetuned-bert: direct link, hf CLI and curl.
- Browser
- Download file 2.61 kB
-
https://huggingface.co/sgugger/finetuned-bert/resolve/main/training_args.bin
- Command line
-
hf download hf://sgugger/finetuned-bert/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sgugger/finetuned-bert/resolve/main/training_args.bin
2.61 kB
- Xet hash:
- 348396d11ed4271c90b6bb3486caa7bf1e049e4e95a261c8e557967a56eceb06
- Size of remote file:
- 2.61 kB
- SHA256:
- db27f20563083e1d0afc6e64578924bf361ca497b0bbb529660ee719d1d22adf
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