Feature Extraction
Transformers
Safetensors
English
Chinese
minicpmv
histopathology
multimodal
spatial-transcriptomics
custom_code
Instructions to use openbmb/SciCore-Omics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openbmb/SciCore-Omics with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="openbmb/SciCore-Omics", trust_remote_code=True, device_map="auto")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openbmb/SciCore-Omics", trust_remote_code=True, dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| from transformers.models.qwen2 import Qwen2TokenizerFast | |
| class MiniCPMVTokenizerFast(Qwen2TokenizerFast): | |
| def __init__(self, **kwargs): | |
| super().__init__(**kwargs) | |
| self.im_start = "<image>" | |
| self.im_end = "</image>" | |
| self.ref_start = "<ref>" | |
| self.ref_end = "</ref>" | |
| self.box_start = "<box>" | |
| self.box_end = "</box>" | |
| self.quad_start = "<quad>" | |
| self.quad_end = "</quad>" | |
| self.slice_start = "<slice>" | |
| self.slice_end = "</slice>" | |
| self.im_id_start = "<image_id>" | |
| self.im_id_end = "</image_id>" | |
| self.gene_start = "<gene>" | |
| self.gene_end = "</gene>" | |
| self.gene_id_start = "<gene_id>" | |
| self.gene_id_end = "</gene_id>" | |
| def eos_id(self): | |
| return self.eos_token_id | |
| def bos_id(self): | |
| return self.bos_token_id | |
| def unk_id(self): | |
| return self.unk_token_id | |
| def im_start_id(self): | |
| return self.convert_tokens_to_ids(self.im_start) | |
| def im_end_id(self): | |
| return self.convert_tokens_to_ids(self.im_end) | |
| def gene_start_id(self): | |
| return self.convert_tokens_to_ids(self.gene_start) | |
| def gene_end_id(self): | |
| return self.convert_tokens_to_ids(self.gene_end) | |
| def slice_start_id(self): | |
| return self.convert_tokens_to_ids(self.slice_start) | |
| def slice_end_id(self): | |
| return self.convert_tokens_to_ids(self.slice_end) | |
| def im_id_start_id(self): | |
| return self.convert_tokens_to_ids(self.im_id_start) | |
| def im_id_end_id(self): | |
| return self.convert_tokens_to_ids(self.im_id_end) | |
| def gene_id_start_id(self): | |
| return self.convert_tokens_to_ids(self.gene_id_start) | |
| def gene_id_end_id(self): | |
| return self.convert_tokens_to_ids(self.gene_id_end) | |
| def newline_id(self): | |
| return self.convert_tokens_to_ids('\n') | |
| def escape(text: str) -> str: | |
| return text | |
| def unescape(text: str) -> str: | |
| return text |