BUG: pandas v1.2 read_csv crashes when reading a large CSV
#### Environment

OS: Windows 10
Python version: 3.7.8 (64 bit)

#### Problem description

Pandas 1.2 fails to read a large CSV (1.6GB), crashing the python process with exit code 0xC0000005. This issue is IDE agnostic, as it happens when running python from the console as well (no IDE).
- The CSV is quite simple, 7M rows x 100 columns with all integer values (1 or 0).
- Adding/changing/removing encoding doesn't change the crash behavior. Using engine='python' works fine, so it's just the C one that is breaking.
- Downgraded to pandas 1.1.4 and it works as expected, so the problem relies with pandas v1.2 only.

```python
df = pd.read_csv('large_file.csv')
or
df = pd.read_csv('large_file.csv', encoding='utf-8')
```

#### Expected Output:

It should be able to read a large CSV file. I have tried with a smaller CSV (400Mb) and it works fine. So the issue materializes only when the CSV is large (maybe > 1.5GB?).

#### Current Output
```
Process finished with exit code 0xC0000005
```

#### Area where the process exits and debugging can't continue:

File: parsers.py
```python
    def read(self, nrows=None):
        try:
            data = self._reader.read(nrows) <---
        except StopIteration:
```

#### pd.show_versions()

pandas           : 1.2.0
numpy            : 1.19.5
pytz             : 2020.5
dateutil         : 2.8.1
pip              : 20.3.3
setuptools       : 51.1.1
Cython           : None
pytest           : None
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : None
IPython          : None
pandas_datareader: None
bs4              : None
bottleneck       : None
fsspec           : None
fastparquet      : None
gcsfs            : None
matplotlib       : None
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pyxlsb           : None
s3fs             : None
scipy            : 1.6.0
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
numba            : None