Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use fernandals/sentiment_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fernandals/sentiment_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fernandals/sentiment_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fernandals/sentiment_v2") model = AutoModelForSequenceClassification.from_pretrained("fernandals/sentiment_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
f782f72
1
Parent(s): e73e083
Training in progress, epoch 4
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 267877037
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e776d730cec09e3e55488c27b963388d641f68cdb3e5a78db98f4385ce9568c9
|
| 3 |
size 267877037
|
runs/Aug17_09-20-09_f039393a6e78/events.out.tfevents.1692264052.f039393a6e78.171.0
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 sha256:8807dca53c70eb0283978e1a341de1e12e767e9554af79a41d3193f1c58dade3
|
| 3 |
+
size 9841
|