Text Classification
Transformers
PyTorch
Safetensors
English
bert
Generated from Trainer
crypto
sentiment
analysis
text-embeddings-inference
Instructions to use kk08/CryptoBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kk08/CryptoBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kk08/CryptoBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kk08/CryptoBERT") model = AutoModelForSequenceClassification.from_pretrained("kk08/CryptoBERT") - Inference
- Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#2
by librarian-bot - opened
README.md
CHANGED
|
@@ -1,15 +1,16 @@
|
|
| 1 |
---
|
|
|
|
|
|
|
| 2 |
tags:
|
| 3 |
- generated_from_trainer
|
| 4 |
- crypto
|
| 5 |
- sentiment
|
| 6 |
- analysis
|
|
|
|
|
|
|
| 7 |
model-index:
|
| 8 |
- name: CryptoBERT
|
| 9 |
results: []
|
| 10 |
-
language:
|
| 11 |
-
- en
|
| 12 |
-
pipeline_tag: text-classification
|
| 13 |
---
|
| 14 |
|
| 15 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 1 |
---
|
| 2 |
+
language:
|
| 3 |
+
- en
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
| 6 |
- crypto
|
| 7 |
- sentiment
|
| 8 |
- analysis
|
| 9 |
+
pipeline_tag: text-classification
|
| 10 |
+
base_model: ProsusAI/finbert
|
| 11 |
model-index:
|
| 12 |
- name: CryptoBERT
|
| 13 |
results: []
|
|
|
|
|
|
|
|
|
|
| 14 |
---
|
| 15 |
|
| 16 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|