Instructions to use YakovElm/MariaDB_RoBERTa_20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YakovElm/MariaDB_RoBERTa_20 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YakovElm/MariaDB_RoBERTa_20")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YakovElm/MariaDB_RoBERTa_20") model = AutoModelForSequenceClassification.from_pretrained("YakovElm/MariaDB_RoBERTa_20") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27071ad849a1df6cca619bbf413fd44ad2b1a5106c83d39d3b68d1dc412b6b2c
- Size of remote file:
- 499 MB
- SHA256:
- 001d84d868c540781f4e38d4b77fee73010edd0866503dc19a8567b00947133f
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