Instructions to use YakovElm/MariaDB5_ElectraModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YakovElm/MariaDB5_ElectraModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YakovElm/MariaDB5_ElectraModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YakovElm/MariaDB5_ElectraModel") model = AutoModelForSequenceClassification.from_pretrained("YakovElm/MariaDB5_ElectraModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from YakovElm/MariaDB5_ElectraModel: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/YakovElm/MariaDB5_ElectraModel/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://YakovElm/MariaDB5_ElectraModel/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/YakovElm/MariaDB5_ElectraModel/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 6ba90e127f112f44c7b9e76a6b3ebe539d342fa4301c579460306b35ee7f0297
- Size of remote file:
- 438 MB
- SHA256:
- a2966c0e8c4f2d7e6561ff50b819501325cad71d07db0547bca091f09fe6f665
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