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
Confusion about the model?
1
#4 opened over 2 years ago
by
as4art07
About download "nreimers/MiniLM-L6-H384-uncased"
#3 opened almost 3 years ago
by
Faysalchowdhoury
Adding `safetensors` variant of this model
#2 opened over 3 years ago
by
SFconvertbot
model documentation
1
#1 opened almost 4 years ago
by
nazneen