Instructions to use nomic-ai/nomic-bert-2048 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nomic-ai/nomic-bert-2048 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nomic-ai/nomic-bert-2048", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nomic-ai/nomic-bert-2048", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("nomic-ai/nomic-bert-2048", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
fix: Missing get_input_embeddings / set_input_embeddings on NomicBertModel
#22
by Pringled - opened
NomicBertModel doesn't implement get_input_embeddings() or set_input_embeddings(), so the transformers fallback in EmbeddingAccessMixi tries to resolve them automatically. This fails because:
_input_embed_layerdefaults toembed_tokens, but NomicBERT usesword_embeddingsbase_model_prefix = "model", but__init__createsself.embeddings, notself.model
Adding these two methods fixes this.