Instructions to use AnonymousSub/rule_based_bert_hier_diff_equal_wts_epochs_1_shard_10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/rule_based_bert_hier_diff_equal_wts_epochs_1_shard_10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnonymousSub/rule_based_bert_hier_diff_equal_wts_epochs_1_shard_10")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/rule_based_bert_hier_diff_equal_wts_epochs_1_shard_10") model = AutoModel.from_pretrained("AnonymousSub/rule_based_bert_hier_diff_equal_wts_epochs_1_shard_10") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 2 years ago
by
SFconvertbot