Token Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use Gladiator/roberta-large_ner_conll2003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gladiator/roberta-large_ner_conll2003 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Gladiator/roberta-large_ner_conll2003")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Gladiator/roberta-large_ner_conll2003") model = AutoModelForTokenClassification.from_pretrained("Gladiator/roberta-large_ner_conll2003") - 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 sha256:4112bf132fb8b0a02ec8ff1ea7e104747206d71b3e5c45e132182cb49c57c2bc
|
| 3 |
+
size 1417329700
|