Instructions to use huawei-noah/EntityCS-39-PEP_MS-xlmr-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huawei-noah/EntityCS-39-PEP_MS-xlmr-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="huawei-noah/EntityCS-39-PEP_MS-xlmr-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("huawei-noah/EntityCS-39-PEP_MS-xlmr-base") model = AutoModelForMaskedLM.from_pretrained("huawei-noah/EntityCS-39-PEP_MS-xlmr-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ad696aaf91943c4e43dfd91d7e7b576c9822d9633e45c29abcb88485dbb9a07
- Size of remote file:
- 1.11 GB
- SHA256:
- 441dd5e5704786dc16c46ad8605be8157e62296f9045e75f695cfd8ca2d5fba7
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