Instructions to use YakovElm/MariaDB15_ElectraModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YakovElm/MariaDB15_ElectraModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YakovElm/MariaDB15_ElectraModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YakovElm/MariaDB15_ElectraModel") model = AutoModelForSequenceClassification.from_pretrained("YakovElm/MariaDB15_ElectraModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from YakovElm/MariaDB15_ElectraModel: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/YakovElm/MariaDB15_ElectraModel/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://YakovElm/MariaDB15_ElectraModel/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/YakovElm/MariaDB15_ElectraModel/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- b4d74193081beda32bc0ad4aa5e467c3c9d866fbf7135da787c5692a20247398
- Size of remote file:
- 438 MB
- SHA256:
- 9151a8c13833ba8ce4fef844f2c17b3cdc549c11472016d945d3b8309a880cf6
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