Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use varun-v-rao/roberta-base-fp-sick with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use varun-v-rao/roberta-base-fp-sick with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="varun-v-rao/roberta-base-fp-sick")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("varun-v-rao/roberta-base-fp-sick") model = AutoModelForSequenceClassification.from_pretrained("varun-v-rao/roberta-base-fp-sick", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 498615900
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d9fa661484c1eb2a51e7c9e56a291846fc4d4a9a58837a48a03b8064e0689887
|
| 3 |
size 498615900
|
runs/Jun05_10-44-23_gl1523.arc-ts.umich.edu/events.out.tfevents.1717598666.gl1523.arc-ts.umich.edu.363274.0
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 sha256:9c4f93761984be54ec713a786c511a2afe40652f568d2d5f408196f45b9cb26d
|
| 3 |
+
size 5952
|