Instructions to use hf-tiny-model-private/tiny-random-FlaubertModel 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-FlaubertModel 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-FlaubertModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-FlaubertModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-FlaubertModel") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
86c1e75 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:781cd1c3b27f710b635efb5a26ed997dcc5152e90c12f281c9f6d4225dc20a75
size 8972816
|