Instructions to use barghavani/MITRE_cybersecurity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use barghavani/MITRE_cybersecurity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="barghavani/MITRE_cybersecurity")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("barghavani/MITRE_cybersecurity") model = AutoModelForTokenClassification.from_pretrained("barghavani/MITRE_cybersecurity") - Notebooks
- Google Colab
- Kaggle
Commit ·
92ad9f6
1
Parent(s): aac2690
Training in progress, step 3500
Browse files
logs/events.out.tfevents.1701043883.ca2bd09f1dd8.14027.5
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:62adcdc1705bcab3802888b9f9398d31807f6f312ae5cbb5480825d6dcf974c9
|
| 3 |
+
size 10060
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 496265620
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1812b840c60e89766cffdd861bb9d0ff379cc556e1a5f50465ca1f926e45efaa
|
| 3 |
size 496265620
|