Instructions to use postbot/MiniLMv2-L6-H384-mlm-multi-emails-hq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use postbot/MiniLMv2-L6-H384-mlm-multi-emails-hq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="postbot/MiniLMv2-L6-H384-mlm-multi-emails-hq")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("postbot/MiniLMv2-L6-H384-mlm-multi-emails-hq") model = AutoModelForMaskedLM.from_pretrained("postbot/MiniLMv2-L6-H384-mlm-multi-emails-hq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
f9c2325 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:81e137c88dedc1030ac71e651025cec0809baeccb47af69a01c380ad639c71b3
size 3899
|