Instructions to use cgrumbach/BitcoinPaper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cgrumbach/BitcoinPaper with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="cgrumbach/BitcoinPaper")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("cgrumbach/BitcoinPaper") model = AutoModelForCausalLM.from_pretrained("cgrumbach/BitcoinPaper", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use cgrumbach/BitcoinPaper with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "cgrumbach/BitcoinPaper" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "cgrumbach/BitcoinPaper", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/cgrumbach/BitcoinPaper
- SGLang
How to use cgrumbach/BitcoinPaper with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "cgrumbach/BitcoinPaper" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "cgrumbach/BitcoinPaper", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "cgrumbach/BitcoinPaper" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "cgrumbach/BitcoinPaper", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use cgrumbach/BitcoinPaper with Docker Model Runner:
docker model run hf.co/cgrumbach/BitcoinPaper
File size: 3,035 Bytes
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---
## DataFrame Columns Description
### 1. `start_edit`
- **Description**: This column represents the date when the post or content was initially created.
- **Type**: Date (format: YYYY-MM-DD)
- **Example**: `2013-11-02`
### 2. `last_edit`
- **Description**: This column represents the last date when the post or content was edited.
- **Type**: Date (format: YYYY-MM-DD)
- **Example**: `2013-11-02`
### 3. `author`
- **Description**: The user who created the post.
- **Type**: String
- **Example**: `guyver`
### 4. `post`
- **Description**: The actual content or message of the post.
- **Type**: String
- **Example**: `before we all get excited about the second batch...`
### 5. `topic`
- **Description**: The topic or title of the thread in which the post was made.
- **Type**: String
- **Example**: `[EU/UK GROUP BUY] Blue Fury USB miner 2.2 ...`
### 6. `attachment`
- **Description**: Indicates whether the post has an attachment or not. A value of `1` means there's an attachment(image or video), and `0` means there isn't. In the website, it using img tag to show the emoji but seems not to be an attachment, such that it also ignring the emojis.
- **Type**: Integer (0 or 1)
- **Example**: `0`
- **Note**: The script 'attachment_fix.py' is run subsequent to the crawling process, as the initial values populated in this column post-crawling are not accurate.
### 7. `link`
- **Description**: Indicates whether the post contains a link or not. A value of `1` means there's a link, and `0` means there isn't.
- **Type**: Integer (0 or 1)
- **Example**: `0`
### 8. `original_info`
- **Description**: This column contains raw HTML or metadata related to the post. It may contain styling and layout information.
- **Type**: String (HTML format)
- **Example**: `<td class="td_headerandpost" height="100%" sty...`
### 9. `preprocessed_post`
- **Description**: Preprocessed of `post` column that for analysis or other tasks.
- **Type**: String
- **Example**: `get excited second batch.let us wait first bat...`
---
## Usage
### 1. `main.py` and `auto_crawl.sh`
- **Description**: The `main.py` script is the full script that is used to crawl the Bitcointalk forum with given the first board page. The `auto_crawl.sh` script is used to automate the process of running the `main.py` script.
- **example**:
```python
python main.py
https://bitcointalk.org/index.php?board=40.0 # board url
--board mining_support # board name
-pages 183 # number of pages in the board
```
### 2. `topic_craawling.py` and `auto_crawl_topic.sh`
- **Description**: The `topic_crawling.py` script is used to crawl exact topic from Bitcointalk forum with given the first page url of the topic. The `auto_crawl_topic.sh` script is used to automate the process of running the `topic_craawling.py` script.
- **example**:
```python
python topic_crawling.py
https://bitcointalk.org/index.php?topic=168174.0 # topic url
--board miners # board name that topic belongs to
--num_of_pages 165 # total pages of this topic
```
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