Instructions to use lupinlevorace/tiny-bert-sst2-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lupinlevorace/tiny-bert-sst2-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lupinlevorace/tiny-bert-sst2-distilled")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lupinlevorace/tiny-bert-sst2-distilled") model = AutoModelForSequenceClassification.from_pretrained("lupinlevorace/tiny-bert-sst2-distilled", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
e80e063
1
Parent(s): 9060899
Training in progress, epoch 8
Browse files
logs/events.out.tfevents.1645330810.021de209f377.18026.24
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 sha256:1cfeefd0ff55d3c12b8ae118720373ae4b5fc5e2bde76024298cc15a19950152
|
| 3 |
+
size 35884
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 17564583
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ef038d328fe99fc27d4c5cae379d80efee848e549a84c3e546701d8f2492177f
|
| 3 |
size 17564583
|