Zero-Shot Classification
Transformers
TensorBoard
Safetensors
roberta
text-classification
Generated from Trainer
Instructions to use adriansanz/test5_balanced_60ep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adriansanz/test5_balanced_60ep with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="adriansanz/test5_balanced_60ep")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adriansanz/test5_balanced_60ep") model = AutoModelForSequenceClassification.from_pretrained("adriansanz/test5_balanced_60ep", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 50
Browse files
logs/events.out.tfevents.1711616593.198e45d77d51.10518.0
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:a0ee0ad82d26dbd448d1d898fbf1b1ca11ffef3e5e2bf7ad7809abc30569f633
|
| 3 |
+
size 85190
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 498649748
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7c5ce076b474fb793b65709a0765e0b51cc2c9ec030c0ef09d1e742cf67f5662
|
| 3 |
size 498649748
|