Instructions to use marcospiau/MiniLM-L6-H384-uncased-msmarco-tiny-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marcospiau/MiniLM-L6-H384-uncased-msmarco-tiny-finetune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marcospiau/MiniLM-L6-H384-uncased-msmarco-tiny-finetune")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("marcospiau/MiniLM-L6-H384-uncased-msmarco-tiny-finetune") model = AutoModelForSequenceClassification.from_pretrained("marcospiau/MiniLM-L6-H384-uncased-msmarco-tiny-finetune") - Notebooks
- Google Colab
- Kaggle
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