Token Classification
Transformers
PyTorch
English
roberta
keyphrase-extraction
Eval Results (legacy)
Instructions to use ml6team/keyphrase-extraction-kbir-inspec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ml6team/keyphrase-extraction-kbir-inspec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ml6team/keyphrase-extraction-kbir-inspec")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ml6team/keyphrase-extraction-kbir-inspec") model = AutoModelForTokenClassification.from_pretrained("ml6team/keyphrase-extraction-kbir-inspec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
0835692
1
Parent(s): 6242d3b
Update README.md
Browse files
README.md
CHANGED
|
@@ -23,9 +23,9 @@ model-index:
|
|
| 23 |
type: midas/inspec
|
| 24 |
name: inspec
|
| 25 |
metrics:
|
| 26 |
-
- type: seqeval
|
| 27 |
-
value: 0.
|
| 28 |
-
name: F1-score
|
| 29 |
---
|
| 30 |
** Work in progress **
|
| 31 |
# 🔑 Keyphrase Extraction model: KBIR-inspec
|
|
|
|
| 23 |
type: midas/inspec
|
| 24 |
name: inspec
|
| 25 |
metrics:
|
| 26 |
+
- type: seqeval
|
| 27 |
+
value: 0.59
|
| 28 |
+
name: F1-score
|
| 29 |
---
|
| 30 |
** Work in progress **
|
| 31 |
# 🔑 Keyphrase Extraction model: KBIR-inspec
|