Instructions to use deivism/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deivism/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="deivism/bert-finetuned-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("deivism/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("deivism/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 87
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 430966652
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cdfdea0a3191f6ff43304bdcb483d226a349a96885b83f236d7842ed65f49f22
|
| 3 |
size 430966652
|
runs/Nov26_20-39-54_deivism3/events.out.tfevents.1732654284.deivism3.8401.0
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 sha256:4761062e85fcc983c014e5b3b17228cf0dc14640440977ba023d7f7777b88677
|
| 3 |
+
size 52175
|