Feature Extraction
Transformers
TensorBoard
Safetensors
bert
fill-mask
trained_from_scratch
text-embeddings-inference
Instructions to use Dauka-transformers/interpro_bert_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dauka-transformers/interpro_bert_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Dauka-transformers/interpro_bert_2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Dauka-transformers/interpro_bert_2") model = AutoModelForMaskedLM.from_pretrained("Dauka-transformers/interpro_bert_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "eos_token_id": 2, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.39.2" | |
| } | |