Instructions to use NbAiLabArchive/test999 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLabArchive/test999 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NbAiLabArchive/test999")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NbAiLabArchive/test999") model = AutoModelForMaskedLM.from_pretrained("NbAiLabArchive/test999") - Notebooks
- Google Colab
- Kaggle
new
Browse files- config.json +1 -1
- pytorch_model.bin +2 -2
config.json
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{
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"_name_or_path": ".",
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"architectures": [
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"
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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{
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"_name_or_path": ".",
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"architectures": [
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"XLMRobertaForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 1113251641
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