Instructions to use ariG23498/mistral-tests with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ariG23498/mistral-tests with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ariG23498/mistral-tests")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ariG23498/mistral-tests") model = AutoModel.from_pretrained("ariG23498/mistral-tests") - Notebooks
- Google Colab
- Kaggle
mistral-tests
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: None
- training_precision: float32
Training results
Framework versions
- Transformers 4.41.0.dev0
- TensorFlow 2.14.0
- Datasets 2.19.1
- Tokenizers 0.19.1
- Downloads last month
- 1