Instructions to use aajrami/bert-rand-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aajrami/bert-rand-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="aajrami/bert-rand-medium")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("aajrami/bert-rand-medium") model = AutoModel.from_pretrained("aajrami/bert-rand-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a23c9274c6d2423d88e072a86d94499f504b74907c47d9d9855ccc2ea29e8498
- Size of remote file:
- 206 MB
- SHA256:
- 2ac7f4c5e3bc3207bfeabba71fd65ab8d1bdefa0fd3f67762dd732659895b91b
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