Instructions to use bowdpr/bowdpr_marco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bowdpr/bowdpr_marco with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="bowdpr/bowdpr_marco")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bowdpr/bowdpr_marco") model = AutoModelForMaskedLM.from_pretrained("bowdpr/bowdpr_marco") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ac50196035c195aa070fed5d6dff825861ce704c9d6e38928182f52c026609f3
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size 438081024
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