Instructions to use raynardj/ner-disease-ncbi-bionlp-bc5cdr-pubmed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raynardj/ner-disease-ncbi-bionlp-bc5cdr-pubmed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="raynardj/ner-disease-ncbi-bionlp-bc5cdr-pubmed")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("raynardj/ner-disease-ncbi-bionlp-bc5cdr-pubmed") model = AutoModelForTokenClassification.from_pretrained("raynardj/ner-disease-ncbi-bionlp-bc5cdr-pubmed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
refer to more model
Browse files
README.md
CHANGED
|
@@ -91,4 +91,4 @@ entity_table(ner)(YOUR_VERY_CONTENTFUL_TEXT)
|
|
| 91 |
> check our NER model on
|
| 92 |
* [gene and gene products](/raynardj/ner-gene-dna-rna-jnlpba-pubmed)
|
| 93 |
* [chemical substance](/raynardj/ner-chemical-bionlp-bc5cdr-pubmed).
|
| 94 |
-
* [disease](raynardj/ner-disease-ncbi-bionlp-bc5cdr-pubmed)
|
|
|
|
| 91 |
> check our NER model on
|
| 92 |
* [gene and gene products](/raynardj/ner-gene-dna-rna-jnlpba-pubmed)
|
| 93 |
* [chemical substance](/raynardj/ner-chemical-bionlp-bc5cdr-pubmed).
|
| 94 |
+
* [disease](/raynardj/ner-disease-ncbi-bionlp-bc5cdr-pubmed)
|