Instructions to use carlesoctav/sealion-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use carlesoctav/sealion-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="carlesoctav/sealion-bert", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("carlesoctav/sealion-bert", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("carlesoctav/sealion-bert", trust_remote_code=True) - 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:ceea45721f1d2ae80fe54a8c3de13897bc5f0466a6be0fef0e5286721ce942af
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size 1243169952
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