Fill-Mask
Transformers
Safetensors
English
tolm
small-language-model
developmental-language-modeling
strict-small
masked-language-modeling
data2vec
whole-word-masking
mosaic
custom_code
Instructions to use miguelcsx/mosaic-memory-d384-bbpe16k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use miguelcsx/mosaic-memory-d384-bbpe16k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="miguelcsx/mosaic-memory-d384-bbpe16k", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("miguelcsx/mosaic-memory-d384-bbpe16k", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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