Instructions to use JoniJoniAl/ColBERTGecko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoniJoniAl/ColBERTGecko with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="JoniJoniAl/ColBERTGecko")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("JoniJoniAl/ColBERTGecko") model = AutoModelForMaskedLM.from_pretrained("JoniJoniAl/ColBERTGecko", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37b5139ae97fc7b76f040d5c7f31a74908528414bde4fae8999f9901d98298cb
- Size of remote file:
- 394 kB
- SHA256:
- 47060951f0ca22596be7f30a2f1c3b43f67e2e7b9e21fa72c639f87b2384355c
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