Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use andersab/tweet_model_sentiment_andersab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andersab/tweet_model_sentiment_andersab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="andersab/tweet_model_sentiment_andersab")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("andersab/tweet_model_sentiment_andersab") model = AutoModelForSequenceClassification.from_pretrained("andersab/tweet_model_sentiment_andersab") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 267857393
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:27c68391357cee0bf1859e2b7a6bbd335bbf2351c43c8ff8512ea9e6e698902b
|
| 3 |
size 267857393
|
runs/Nov11_19-22-48_7d63fe580273/events.out.tfevents.1668194574.7d63fe580273.78.11
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 sha256:4306ce8e68acb640472388d5de92f14f1766ff0dcde478aaec09620910bd5f5f
|
| 3 |
+
size 22278
|
runs/Nov11_19-22-48_7d63fe580273/events.out.tfevents.1668199494.7d63fe580273.78.13
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bdca6f40ad181964971bc38129840ceb3661a8baa3f9e477d3a1eb57b3a55123
|
| 3 |
+
size 370
|