Instructions to use Tommert25/robbert2809_flow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tommert25/robbert2809_flow with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Tommert25/robbert2809_flow")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Tommert25/robbert2809_flow") model = AutoModelForTokenClassification.from_pretrained("Tommert25/robbert2809_flow") - 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 sha256:34c1f0d902b6e9a42bb0c9ea1492c99d3865ae2e3c32a5b2eba34b93d1ee269f
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size 464731540
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