Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use V12X-ksr/FOCALtrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use V12X-ksr/FOCALtrain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="V12X-ksr/FOCALtrain")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("V12X-ksr/FOCALtrain") model = AutoModelForSequenceClassification.from_pretrained("V12X-ksr/FOCALtrain") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 8
Browse files
logs/events.out.tfevents.1700143230.38373131a0a1.26516.0
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 sha256:8de5312be0377d9ad6596154e8a068c967325cc47810745e3f336dda515e7e24
|
| 3 |
+
size 65999
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 498631280
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e577cdd3d649b192d2b714226bb191b6818facfeee76b95d22f4e325e0223906
|
| 3 |
size 498631280
|