Instructions to use garNER/roberta-large-en-LM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use garNER/roberta-large-en-LM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="garNER/roberta-large-en-LM")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("garNER/roberta-large-en-LM") model = AutoModelForTokenClassification.from_pretrained("garNER/roberta-large-en-LM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:9c7b5a38e29ff4fa1580ffa9a79546eb3550bacbe80c21c2fa46491ada81c5a8
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size 1417571608
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