Instructions to use svenbl80/roberta-base_contracts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use svenbl80/roberta-base_contracts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="svenbl80/roberta-base_contracts")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("svenbl80/roberta-base_contracts") model = AutoModelForSequenceClassification.from_pretrained("svenbl80/roberta-base_contracts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
Browse files
logs/events.out.tfevents.1702579432.104-171-203-254.1253359.0
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 sha256:764450769f5598f36778e803cc24ac910b9e9430d14b0be9b9b584d42acefb1c
|
| 3 |
+
size 6239
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 498672621
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:66d2e7dbce42b81fbb4077723dfaec929bbd8ef0a9549cd278ccdf1f74a4b782
|
| 3 |
size 498672621
|