Instructions to use Galvin/my_ebm_model_linkbert_full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Galvin/my_ebm_model_linkbert_full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Galvin/my_ebm_model_linkbert_full")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Galvin/my_ebm_model_linkbert_full") model = AutoModelForTokenClassification.from_pretrained("Galvin/my_ebm_model_linkbert_full", device_map="auto") - 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:f6995a5c270c214318b5070a9831d1ead49ce8518221d3c4e7f3fe66a80ff395
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size 430617500
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