Instructions to use pjox/dalembert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pjox/dalembert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pjox/dalembert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pjox/dalembert") model = AutoModelForMaskedLM.from_pretrained("pjox/dalembert") - Notebooks
- Google Colab
- Kaggle
Fixed link to RoBERTa Model
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README.md
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# D'AlemBERT base model
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This model is a [RoBERTa base model](https://huggingface.co/
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introduced in [this paper](https://aclanthology.org/2022.lrec-1.359/). This model is Cased and was trained with a mix of normalized and unnormalized data.
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## Model description
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# D'AlemBERT base model
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This model is a [RoBERTa base model](https://huggingface.co/roberta-base) pre-trained on the [FreEMmax corpus](https://doi.org/10.5281/zenodo.6481135) for Early Modern French. It was
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introduced in [this paper](https://aclanthology.org/2022.lrec-1.359/). This model is Cased and was trained with a mix of normalized and unnormalized data.
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## Model description
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