Instructions to use nreimers/MiniLM-L6-H384-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nreimers/MiniLM-L6-H384-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="nreimers/MiniLM-L6-H384-uncased")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("nreimers/MiniLM-L6-H384-uncased") model = AutoModel.from_pretrained("nreimers/MiniLM-L6-H384-uncased", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
About download "nreimers/MiniLM-L6-H384-uncased"
#3
by Faysalchowdhoury - opened
I want to ask about is it possible to download this "nreimers/MiniLM-L6-H384-uncased" and use locally? because i want to run my Jupiter notebook on HPC and it has no internet connection.