Instructions to use AnonymousSub/bert_mean_diff_epochs_1_shard_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/bert_mean_diff_epochs_1_shard_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnonymousSub/bert_mean_diff_epochs_1_shard_1")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/bert_mean_diff_epochs_1_shard_1") model = AutoModel.from_pretrained("AnonymousSub/bert_mean_diff_epochs_1_shard_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6339e3a1326f85ca59db8a0a76dc3ac3339791f2ce47ce3bde965347d25c4050
- Size of remote file:
- 438 MB
- SHA256:
- 4a6a4499f69e4d837c4b20d9f3e87bf66327489bc88f197a694580e9b9a8f27e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.