Token Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
Instructions to use hoganpham/my_first_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hoganpham/my_first_ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hoganpham/my_first_ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hoganpham/my_first_ner") model = AutoModelForTokenClassification.from_pretrained("hoganpham/my_first_ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Hoang Pham commited on
Training in progress, epoch 2
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 265503852
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b2e88418da657675d7c08e4c305d2bd9f8afc919bc65e85693880f07afa69604
|
| 3 |
size 265503852
|