Instructions to use aajrami/bert-rand-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aajrami/bert-rand-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="aajrami/bert-rand-small")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("aajrami/bert-rand-small") model = AutoModelForMultimodalLM.from_pretrained("aajrami/bert-rand-small") - 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 sha256:6d1c195f6d2e0133e0176136e58c5f41f3c430a3ced292b8ff1db12355cd1c82
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size 155502424
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