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
- Xet hash:
- 76d23ed49b79e48f4263dcb922bae3172755e5c87db8b8b53694c4414accb2c6
- Size of remote file:
- 121 MB
- SHA256:
- 367df20aebb6ea4c6a2f3b6522cedf664bf8dec358da14f835ad4b83f14020b8
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