Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Ibrahim-Alam/finetuning-roberta-base-on-tweet_sentiment_binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ibrahim-Alam/finetuning-roberta-base-on-tweet_sentiment_binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ibrahim-Alam/finetuning-roberta-base-on-tweet_sentiment_binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ibrahim-Alam/finetuning-roberta-base-on-tweet_sentiment_binary") model = AutoModelForSequenceClassification.from_pretrained("Ibrahim-Alam/finetuning-roberta-base-on-tweet_sentiment_binary") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c612e864e84dca3e99504948ac6bc4d7aa1caa999e7cacfb9e3bbe77062bdb6c
|
| 3 |
+
size 498617024
|