Instructions to use EhsanAghazadeh/roberta-base-random-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EhsanAghazadeh/roberta-base-random-weights with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="EhsanAghazadeh/roberta-base-random-weights")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("EhsanAghazadeh/roberta-base-random-weights") model = AutoModel.from_pretrained("EhsanAghazadeh/roberta-base-random-weights") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ccf8a6d31c37f1155ed41075364e07d295b835b5638c8be5a5d1a5a75f99fc38
- Size of remote file:
- 499 MB
- SHA256:
- 26cc043b202228d6a8c2a05cbca87e59da5e626cfd5578405394c5cef1d81ced
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