Instructions to use hf-tiny-model-private/tiny-random-IBertModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-IBertModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-IBertModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-IBertModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-IBertModel") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
398e9df | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:176f0dbe000d3c0d27b859ae46cf12c846ce15cf720d4fb96c25c256c0cda5f9
size 726436
|