Token Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use Gladiator/roberta-large_ner_wnut_17 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gladiator/roberta-large_ner_wnut_17 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Gladiator/roberta-large_ner_wnut_17")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Gladiator/roberta-large_ner_wnut_17") model = AutoModelForTokenClassification.from_pretrained("Gladiator/roberta-large_ner_wnut_17", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:190b0755f62ab5d39295897307a8757314997235f8d7e94383c2337af007c33d
|
| 3 |
+
size 1417346100
|