Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ColeD0/BertQuake with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ColeD0/BertQuake with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ColeD0/BertQuake")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ColeD0/BertQuake") model = AutoModelForSequenceClassification.from_pretrained("ColeD0/BertQuake", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ColeD0/BertQuake: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/ColeD0/BertQuake/resolve/main/training_args.bin
- Command line
-
hf download hf://ColeD0/BertQuake/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ColeD0/BertQuake/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- dc0fb3d453e9ece8a82d2fe53002bfb168b426d16f403de22d4146acff2fc2b0
- Size of remote file:
- 5.11 kB
- SHA256:
- 71e648d2f6bd82b732afa758529e1bc2773edcf3b5c0e3bb655b245ad9e84275
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