Fill-Mask
Transformers
PyTorch
Norwegian
Norwegian Bokmål
Norwegian Nynorsk
BERT
NorBERT
Norwegian
encoder
custom_code
Instructions to use ltg/norbert3-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ltg/norbert3-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ltg/norbert3-large", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("ltg/norbert3-large", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -31,8 +31,8 @@ import torch
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from transformers import AutoTokenizer
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from modeling_norbert import NorbertForMaskedLM
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tokenizer = AutoTokenizer.from_pretrained(
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bert = NorbertForMaskedLM.from_pretrained(
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mask_id = tokenizer.convert_tokens_to_ids("[MASK]")
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input_text = tokenizer("Nå ønsker de seg en[MASK] bolig.", return_tensors="pt")
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from transformers import AutoTokenizer
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from modeling_norbert import NorbertForMaskedLM
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tokenizer = AutoTokenizer.from_pretrained("path/to/folder")
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bert = NorbertForMaskedLM.from_pretrained("path/to/folder")
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mask_id = tokenizer.convert_tokens_to_ids("[MASK]")
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input_text = tokenizer("Nå ønsker de seg en[MASK] bolig.", return_tensors="pt")
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