Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Jedida/tweet_sentiments_analysis_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jedida/tweet_sentiments_analysis_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jedida/tweet_sentiments_analysis_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jedida/tweet_sentiments_analysis_roberta") model = AutoModelForSequenceClassification.from_pretrained("Jedida/tweet_sentiments_analysis_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
runs/Jul26_09-11-17_f9a36b3a17d2/events.out.tfevents.1690362691.f9a36b3a17d2.2283.0
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:a056447be442b88cb05c8a662653a09270f5837c9e1025157e12b0306441e5b8
|
| 3 |
+
size 7789
|
runs/Jul26_09-11-17_f9a36b3a17d2/events.out.tfevents.1690366845.f9a36b3a17d2.2283.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:910ffdddbc23f46958e447262cd261f6e366297eb3c022299392a375da620c4a
|
| 3 |
+
size 411
|