Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use sms112/euk_roberta_large_essentiality_Network with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sms112/euk_roberta_large_essentiality_Network with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sms112/euk_roberta_large_essentiality_Network")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sms112/euk_roberta_large_essentiality_Network") model = AutoModelForSequenceClassification.from_pretrained("sms112/euk_roberta_large_essentiality_Network") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 10
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 1421495360
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bb66a7b3fbfa97aff87fd8a468d7f89bbd53cc4ea0f94080922823d95913ab06
|
| 3 |
size 1421495360
|